Simulating the evolution of soot mixing state with a particle-resolved aerosol model
By Nicole Riemer, Matthew West, R. Zaveri, R. Easter. 2008
222 citations recorded by the source corpus.
[1] The mixing state of soot particles in the atmosphere is of crucial importance for assessing their climatic impact, since it governs their chemical reactivity, cloud condensation nuclei activity, and radiative properties. To improve the mixing state representation in models, we present a new approach, the stochastic particle-resolved model PartMC-MOSAIC, which explicitly resolves the composition of individual particles in a given population of different types of aerosol particles. This approach tracks the evolution of the mixing state of particles due to emission, dilution, condensation, and coagulation. To make this direct stochastic particle-based method practical, we implemented a new multiscale stochastic coagulation method. With this method we achieved high computational efficiency for situations when the coagulation kernel is highly nonuniform, as is the case for many realistic applications. PartMC-MOSAIC was applied to an idealized urban plume case representative of a large urban area to simulate the evolution of carbonaceous aerosols of different types due to coagulation and condensation. For this urban plume scenario we quantified the individual processes that contributed to the aging of the aerosol distribution, illustrating the capabilities of our modeling approach. The results showed for the first time the multidimensional structure of particle composition, which is usually lost in sectional or modal aerosol models.
Subfields: Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/f2ba8e936a88874edf9e2ff11a74a2f7bcd25ace
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Citations in the corpus
- Morphology and mixing state of aged soot particles at a remote marine free troposphere site: Implications for optical properties (2015, unknown): “The results of this study have implications on how soot should be represented in particle-resolved mixing states [Riemer et al., 2009] and chemical transport models [Wang et al., 2013] in remote regions of the free troposphere, and how the representation of soot morphology may affect the…”
- Toward a Minimal Representation of Aerosols in Climate Models: Comparative Decomposition of Aerosol Direct, Semidirect, and Indirect Radiative Forcing (2012, background): “This can be achieved in principle with a particleresolved model (Riemer et al. 2009) but at a computational cost that is prohibitive for climate modeling.”
- Estimating Black Carbon Aging Time-Scales with a Particle-Resolved Aerosol Model (2009, methodology): “We take the particle63 population simulated in Riemer et al. (2009) and use a CCN-based aging cri-64 teria to determine whether each individual particle is fresh or aged at every65 timestep, and how many particles transfer between the fresh and aged cate-66 gories during each timestep.”
- Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, methodology): “For atmospheric aerosol, the approach was first developed and applied with the PartMC-MOSAIC model (Riemer et al., 2009; Zaveri et al., 2008).”